Abstract

The development of new embedded algorithms for automation and control of industrial equipment usually requires the use of real-time testing. However, the equipment required is often expensive, which means that such tests are often not viable. The objective of this work was therefore to develop an embedded platform for the distributed real-time simulation of dynamic systems. This platform, called the Real-Time Simulator for Dynamic Systems (RTSDS), could be applied in both industrial and academic environments. In industrial applications, the RTSDS could be used to optimize embedded control algorithms. In the academic sphere, it could be used to support research into new embedded solutions for automation and control and could also be used as a tool to assist in undergraduate and postgraduate teaching related to the development of projects concerning on-board control systems.

Highlights

  • The development of new embedded algorithms and control techniques for dynamic systems, such as motors, industrial processes, automobiles and aircraft, amongst others, normally requires real-time tests in the devices to be controlled

  • In the case of Dynamic System 1, the values employed for the parameters of the set M were based on a didactic kit of coupled tanks, supplied by Quanser [39], which is used in disciplines involving control and automation systems

  • This work presents a proposal for an embedded solution for the real-time simulation of dynamic systems, called the Real-Time Simulator for Dynamic Systems (RTSDS)

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Summary

Introduction

The development of new embedded algorithms and control techniques for dynamic systems, such as motors, industrial processes, automobiles and aircraft, amongst others, normally requires real-time tests in the devices to be controlled. Such tests using real systems can be very expensive and time consuming. It is necessary to construct small prototypes in order to perform the tests, as in the case of aircraft and ships Many of these tests under real conditions can be performed using off-line simulations (which are not performed in real time), such simulations do not fully eliminate real-time testing

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